Automatic image quality assessment and measurement of fetal head in two-dimensional ultrasound image.

Zhang, Lei; Dudley, Nicholas J; Lambrou, Tryphon; Allinson, Nigel; Ye, Xujiong

Zhang, Lei; Dudley, Nicholas J; Lambrou, Tryphon; Allinson, Nigel; Ye, Xujiong.

Afiliación

Zhang L; University of Lincoln, School of Computer Science, Laboratory of Vision Engineering, Brayford Pool, Lincoln, United Kingdom.
Dudley NJ; United Lincolnshire Hospitals NHS Trust, Medical Physics, Lincoln County Hospital, Lincoln, United Kingdom.
Lambrou T; University of Lincoln, School of Computer Science, Laboratory of Vision Engineering, Brayford Pool, Lincoln, United Kingdom.
Allinson N; University of Lincoln, School of Computer Science, Laboratory of Vision Engineering, Brayford Pool, Lincoln, United Kingdom.
Ye X; University of Lincoln, School of Computer Science, Laboratory of Vision Engineering, Brayford Pool, Lincoln, United Kingdom.

J Med Imaging (Bellingham) ; 4(2): 024001, 2017 Apr.

Article en En | MEDLINE | ID: mdl-28439522

Palabras clave

fetal head biometric measurements; image quality assessment; random forest classifier; texton feature; ultrasound fetal segmentation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Med Imaging (Bellingham) Año: 2017 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos

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